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5. The current conceptual problem: the purely Newtonian mechanical fluid based solution fields (u,p) ex H(1) x H(0) = L(2) Applying formally the div-operator to the classical NSE the pressure field must satisfy the interior Neumann problem acompanied by a boundary condition requiring the outward unit normal at the boundary. The initial boundary value problem determines the initial pressure by the Neumann problem for t --> 0. From this it follows that in this framework the prescription of the pressure at the boundary walls or at the initial time independently of the velocity field u, could be incompatible with and, therefore, could retender the problem ill-posed, (GaG). In (HeJ) a (u,p) solution of the NSE system is provided with a divergence free initial boundary value velocity v(0) ex H(0) = L(2) and a corresponding scalar pressure field p, which is infinite at t=0. (GaG) Galdi G. P., The Navier-Stokes Equations: A Mathematical analysis, Birkhäuser Verlag, Monographs in Mathematics, ISBN 978-3-0348-0484-4 (HeJ) Heywood J. G., Walsh O. D., A counter-example concerning the pressure in the Navier-Stokes equations, as t à 0, Pacific J. Math., 164 (1994), 351-359. 6. A dynamic fluid artifact with intrinsic „pressure force“ In the current NSE system the pressure plays the key role to generate the „force“ (resp. to provide the energy) to move a fluid particle forwards into the direction of the decreasing pressure. The „pressure“ is a scalar quantity, however, its spacial shift generates a „pressure force“, which acts on the fluid. Correspondingly, the negative pressure gradient represents the acceleration of the fluid which acts on the fluid. Its multiplication with the mass density of the fluid continuum it gives the fundamental force, which governs the movement of fluids orchestrated by the Newton law F = m * a, (e.g. (LaL). It is the difference between two fluid pressures that generates this force, which moves the considered fluid forward. The negative gradient of this pressure (the relevant term in the NSE system) represents the acceleration of the considered fluid into the direction of the decreasing pressure. The current pressure force is the product of the mass density of the fluid continuum and the accelearation of the mechanical fluid moving into the direction of the fluid. The intrinsic „pressure force“ is modelled by the fluid intrinsic dynamic energy. This concept replaces the sophisticated term, given by the fluid intrinsic acceleration (i.e. the gradient of the pressure) divided by the density constant, by a new dynamic fluid flow on the considered surface. Note: In classical electricity theory the electric flux is a flux of charges transported by the electrons in metals. The „pressure“ by which the electrons are pushed into the conductive wire is called electric tension or electric potential. Note: The inner product of H(1/2) is isometric to an inner product in the form (Qx,Px), where Q resp. P denote Schrödinger‘s position & momentum operators. The combination with the Riesz transform operator provides the link to the alternatively proposed Schrödinger operator 2.0 in (BrK2). Note: The extended H(1/2) energy field based variational framework allows ‘optimal’ FEM approximation error estimates for non-linear parabolic problems with non-regular initial value data using the Stefan (free boundary) model problem, (see below). (DiE) DiBenedetto E., Partial Differential Equations, Birkhäuser, Boston, Basel, New York, 2010 (GeM) Geißert, M., Heck, H., Hieber, M. (2006). On the Equation div u = g and Bogovskii’s Operator in Sobolev Spaces of Negative Order. In: Koelink, E., van Neerven, J., de Pagter, B., Sweers, G., Luger, A., Woracek, H. (eds) Partial Differential Equations and Functional Analysis. Operator Theory: Advances and Applications, vol 168. Birkhäuser Basel (GeM) Geißert, M., Heck, H., Hieber, M. (2006). On the Equation div u = g and Bogovskii’s Operator in Sobolev Spaces of Negative Order. In: Koelink, E., van Neerven, J., de Pagter, B., Sweers, G., Luger, A., Woracek, H. (eds) Partial Differential Equations and Functional Analysis. Operator Theory: Advances and Applications, vol 168. Birkhäuser Basel (LiI) Lifanov I. K., Poltavskii L. N., Vainikko G. M., Hypersingular integral equations and their applictions, ChapmAN 6 Hall/CRC, Boca Raton, London, New York, Washington D.C., 2004 (PlJ) Plemelj J., Potentialtheoretische Untersuchungen, B.G. Teubner, Leipzig, 1911 7. The extended H(1/2) based dynamic fluid model alternatively to Kolmogorov’s statistical turbulence model Quote from W. Heisenberg: "When I meet God, I am going to ask him two questions: Why relativity? And why turbulence? I really believe he will have an answer for the first." What is turbulence? from M. Farge, K. Schneider, Wavelets: application to turbulence „Turbulence is a highly nonlinear regime encountered in fluid flows. They are described by continuous fields, e.g., velocity or pressure, assuming that the characteristic scale of the fluid motions is much larger than the mean free path of the molecular motions. The prediction of the space-time evolution of fluid flows from first principles is given by the solutions of the Navier-Stokes equations. The turbulent regime develops when the nonlinear term of Navier-Stokes equations strongly dominates the linear term; the ratio of the norms of both terms is the Reynolds number Re, which characterizes the level of turbulence. In this regime nonlinear instabilities dominate, which leads to the flow sensitivity to initial conditions and unpredictability. The corresponding turbulent fields are highly fluctuating and their detailed motions cannot be predicted, although, if one assumes some statistical stability of the turbulence regime, averaged quantities, such as mean and variance, or other related quantities, e.g., diffusion coefficients, lift or drag, may still be predicted. When turbulent flows are statistically stationary (in time) or homogeneous (in space), as it is classically supposed, one studies their energy spectrum, given by the modulus of the Fourier transform of the velocity auto-correlation. Unfortunately, since the Fourier representation spreads the information in physical space among the phase of all Fourier coefficients, the energy spectrum looses all structural information in time or space. This is a major limitation of the classical way of analyzing turbulent flows. This is why we have proposed to use the wavelet representation instead and define new analysis tools able to preserve time or space locality.“ In the proposed extended variational H(1/2) energy Hilbert space the included mechanical Hilbert energy space H(1) (which is based on the statistical L(2)=H(0) Hilbert space) is governed by Fourier waves, while its complementary closed sub-space of H(1/2) may be governed by wavelets.
The classical Stefan problem aims to describe the temperature distribution in a homogeneous medium undergoing a phase change, for example ice passing to water; Stefan problems are examples of free boundary problems; appropriate variable transformation leads to nonlinear parabolic initial-boundary value problems with a fixed domain.
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